At a Glance
- Tasks: Design and maintain data pipelines using Microsoft SQL Server and ETL processes.
- Company: Dynamic recruitment agency enhancing their data engineering function.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and make an impact in data engineering.
- Qualifications: Over 4 years of experience with strong analytical skills required.
- Other info: Work in a collaborative environment, attending the office 2-3 days a week.
The predicted salary is between 45000 - 60000 £ per year.
A recruitment agency is seeking a SQL Data Engineer to enhance their data engineering function in Glasgow or Edinburgh. The role involves designing and maintaining data pipelines, working with Microsoft SQL Server, SSIS, and T-SQL, with an emphasis on ETL processes.
The ideal candidate should have over 4 years of experience, strong analytical skills, and the ability to work in a hybrid model, attending the office 2–3 days a week while managing diverse tasks across the business.
SQL Data Engineer (SSIS/SSRS) - ETL Specialist | Hybrid in Glasgow employer: McFall Recruitment Limited
Contact Detail:
McFall Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SQL Data Engineer (SSIS/SSRS) - ETL Specialist | Hybrid in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with SQL Server or ETL processes. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects involving SSIS, SSRS, and T-SQL. This will give potential employers a clear view of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common SQL and ETL questions. We recommend practising with mock interviews or even recording yourself to refine your answers. Confidence is key, so let your expertise shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace SQL Data Engineer (SSIS/SSRS) - ETL Specialist | Hybrid in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL Server, SSIS, and T-SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your ETL expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our SQL Data Engineer position. Share specific examples of your past work that demonstrate your analytical skills and experience in data pipelines.
Show Off Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex data challenges. We love candidates who can think critically and come up with innovative solutions, especially in a hybrid work environment!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at McFall Recruitment Limited
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills, especially T-SQL. Be prepared to discuss your experience with data pipelines and ETL processes. Practising common SQL queries and understanding how to optimise them can really set you apart.
✨Showcase Your SSIS and SSRS Experience
Since the role specifically mentions SSIS and SSRS, be ready to talk about your hands-on experience with these tools. Prepare examples of projects where you've successfully implemented ETL solutions using SSIS or created reports with SSRS.
✨Demonstrate Analytical Skills
The ideal candidate should have strong analytical skills, so think of scenarios where you've used data analysis to solve problems. Be ready to explain your thought process and how your analytical skills have contributed to past projects.
✨Embrace the Hybrid Model
As this role involves a hybrid working model, be prepared to discuss how you manage your time and tasks effectively between home and the office. Share any experiences that highlight your adaptability and ability to work independently while still being a team player.